Local & State Government

Development planning conditions set by Local Governments have traditionally been determined without the ability to test the impacts on potential redevelopment and subdivision. In many cases this has led to the adoption of prohibitive policy with Local Government erring on the side of caution, fearing backlash should policy encourage undesirable development.

PointData’s Urban Potential Model can test the impacts of proposed changes to planning conditions prior to implementation.
PointData can work with Local Government planners to determine planning conditions to meet desired outcomes or to gain insights into the existing market conditions in the local area and to understand the likely development outcomes under existing and proposed conditions.
These tests can then be used to target desirable development types in specific areas, giving local authorities greater control over the type, scale and volume of development within their jurisdiction.

The Right Choice For Your Business

Property Development Potential Report
A comprehensive report on the development potential of the residential subject property, providing land value, development timelines, options and return on investment.
Property Value Report
Provides a detailed, accurate and tailored valuation assessment of the subject property, incorporating recent sales activity and takes into account land economics and neighbourhood profiles.
Vendor Listing & Market Profile Report
Tailored for the Real Estate professional, buyers and sellers; this report provides a property value estimate as well as neighbourhood history, analysis, trends and comparisons.
API Real Time AVM Valuations
PointData developed not one, but three new Artificial Intelligence driven Automated Valuation Models: Property, Land and and Highest and Best use.
Land Development Metrics
Our PropertyAI algorithms calculate the land value before and after sub-division based on location, zoning, size and shape of land parcels.
Property & Neighbourhood Indices
PointData’s price indexation method at a neighbourhood level allows a more granular level of growth analysis compared to hedonic models based on fixed and larger statistical areas. Its unique growth indices are calculated separately for property and its land.